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Vestiaire Collective Product Scraper: Extract Luxury Fashion Data from Leading Resale Platform

Introduction

Vestiaire Collective stands as one of the world's premier online marketplaces for pre-owned luxury fashion, connecting buyers and sellers of authenticated designer clothing, bags, shoes, and accessories. With millions of listings from luxury brands like Chanel, Louis Vuitton, Hermès, and Gucci, the platform serves as a vital barometer for secondary luxury market trends, pricing dynamics, and consumer preferences across multiple countries.

For fashion retailers, luxury brand analysts, resale businesses, pricing strategists, and market researchers, accessing structured data from Vestiaire Collective provides invaluable insights into luxury resale market dynamics. However, manually collecting product information across different countries and categories is impractical when analyzing market trends or conducting competitive research at scale.

The Vestiaire Collective Product Scraper automates this data extraction process across six country-specific platforms (US, UK, France, Germany, Italy, Spain), enabling systematic collection of product listings, pricing data, seller information, and market trends that would otherwise require extensive manual effort.

Scraper Overview

The Vestiaire Collective Product Scraper is a sophisticated data extraction tool designed to systematically collect luxury fashion product information from Vestiaire Collective's multi-country marketplace. This scraper leverages advanced web automation to navigate search results and extract detailed product listings efficiently across different regional platforms.

Key advantages include residential proxy support for reliable international access, configurable retry mechanisms for handling network issues, flexible pagination controls for large datasets, and multi-country coverage. It's particularly valuable for luxury fashion analysts, resale business operators, pricing intelligence teams, brand managers, and market researchers who need structured data about secondary luxury market trends.

The scraper handles various search parameters including keyword queries, country-specific targeting, sorting options (price, relevance, recency), and pagination controls. It maintains high data accuracy while implementing ethical scraping practices and respecting platform rate limits.

Input and Output Details

Example url 1: https://us.vestiairecollective.com/women-bags/p-2/#categoryParent=Bags%235_gender=Women%231

Example url 2: https://es.vestiairecollective.com/search/p-2/?q=shoe&sortBy=3

Example url 3: https://it.vestiairecollective.com/givenchy/

Example Screenshot of product information page:

Input Format

The scraper accepts JSON configuration for precise control over data extraction across Vestiaire Collective's country platforms.

Scrape with URLs:

{
  "proxy": {
    "useApifyProxy": false
  },
  "ignore_url_failures": true,
  "max_retries_per_url": 2,
  "max_items_per_url": 20,
  "urls": [
    "https://us.vestiairecollective.com/women-bags/p-2/#categoryParent=Bags%235_gender=Women%231",
    "https://fr.vestiairecollective.com/search/?q=chanel&sortBy=1",
    "https://it.vestiairecollective.com/givenchy/"
  ]
}

The urls parameter: Add product search page URLs from any Vestiaire Collective country domain. Paste URLs individually or use Bulk edit for prepared lists. Ideal for targeting specific searches, categories, or brands.

The ignore_url_failures parameter: If true, scraping continues even if some URLs fail after maximum retries. Ensures one problematic URL doesn't halt the entire job—important for multi-URL extraction.

When providing URLs, all "Scrape with search filters" options are disabled. The system only collects data from specified URLs.

Scrape with Search Filters:

{
  "country_code": "us",
  "keyword": "hermes birkin",
  "sort_by": "1",
  "page": 1,
  "max_items_per_url": 20,
  "max_retries_per_url": 2,
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  }
}

The country_code parameter: Select target country platform:

• "com" - United Kingdom (vestiairecollective.com)
• "us" - United States (us.vestiairecollective.com)
• "fr" - France (fr.vestiairecollective.com)
• "de" - Germany (de.vestiairecollective.com)
• "it" - Italy (it.vestiairecollective.com)
• "es" - Spain (es.vestiairecollective.com)

The keyword parameter: Enter search terms for products (e.g., "chanel bag", "rolex", "louboutin shoes", "gucci belt"). Use brand names, product types, or specific model references.

The sort_by parameter: Control result ordering:

• "" - Relevance (default sorting)
• "1" - Price low to high (budget-conscious searches)
• "2" - Price high to low (premium/investment pieces)
• "3" - Most Recent (latest listings)

The page parameter: Specify starting page number for pagination control. Useful for resuming interrupted scrapes or targeting specific result ranges.

When using search filters, leave the urls field empty.

General Options:

The max_items_per_url parameter: Limit items scraped per URL or search. Default is 20, balancing thoroughness with efficiency.

The max_retries_per_url parameter: Maximum retry attempts if scraping fails or bot detection occurs. Default is 2, providing good balance for international connections.

The proxy parameter: Essential for maintaining access and avoiding detection. Select appropriate proxies for your scraper. Match proxy country to target platform when possible for optimal results.

Output Format

The scraper returns structured luxury product data with each field serving specific analytical and business purposes:

• ID: Unique product identifier within Vestiaire Collective's system. Critical for tracking specific items over time, avoiding duplicates, and linking to product pages.

• Brand: Luxury brand name (e.g., Chanel, Hermès, Louis Vuitton). Essential for brand-specific market analysis, competitive intelligence, and inventory categorization.

• Name: Product title/name as listed. Provides specific product identification for inventory management and listing analysis.

• Description: Detailed product description including condition, materials, dimensions. Offers comprehensive product context for quality assessment and accurate categorization.

• Country: Country/region where item is listed or sold. Important for geographic market analysis, cross-border pricing comparison, and regional trend identification.

• Colors: Product color options or variants. Valuable for trend analysis, inventory planning, and understanding color popularity across luxury categories.

• Local Eligible: Boolean indicating local pickup/delivery availability. Helps identify regional inventory concentration and local market supply dynamics.

• Direct Shipping Eligible: Indicates if direct shipping is available. Shows seller service level and affects buyer convenience—important for conversion analysis.

• Editor Picks: Boolean showing if item is curated/featured by platform. Identifies high-quality or trendy items, useful for understanding platform curation strategy.

• Likes: Number of user favorites/likes. Indicates product popularity and demand signals—valuable for trend forecasting and pricing strategy.

• Link: Direct URL to product listing page. Essential for verification, detailed inspection, and tracking listing changes over time.

• Model: Specific product model or style reference. Critical for precise product matching, model-level pricing analysis, and authentication verification.

• Pictures: Array of product image URLs. Provides visual data for condition assessment, quality evaluation, and enriched databases.

• Price: Current listing price in local currency. Core metric for pricing analysis, market valuation, depreciation tracking, and competitive intelligence.

• Seller: Seller information or identifier. Useful for seller reputation analysis, identifying professional resellers, and supply chain insights.

• Sold: Boolean indicating if item is sold. Critical for calculating sell-through rates, time-on-market analysis, and demand validation.

• Stock: Availability status or inventory level. Shows current availability—important for supply analysis and market saturation assessment.

• Should Be Gone: Indicator suggesting item should be removed/sold. Platform-specific flag possibly indicating pricing issues or long listing duration.

• Created At: Listing creation timestamp. Essential for time-series analysis, understanding listing duration, and tracking seasonal trends.

• Universe ID: Category or collection identifier within platform. Useful for category-level analysis and organizing products by fashion universe.

• Personalization Type: Indicates if item has customization or personalization. Affects resale value and authenticity—important for pricing and authentication analysis.

Each field supports luxury market research, pricing intelligence, inventory analysis, brand monitoring, and competitive strategy development in the secondary luxury fashion market.

Example Output:

[
  {
  "id": 20779390,
  "brand": {
    "id": 9047,
    "name": "Adidas x Chanel x Pharrell Williams"
  },
  "name": "Cloth trainers",
  "description": "Adidas x Pharrell x NMD Human Race Trainers \nVery rare iconic trainers, made available in November 2017 in quantities of only 500 pairs. \n100% authentic. \n, never worn. \nBox , original dust boxes",
  "country": "GB",
  "colors": {
    "original_id": 14,
    "all": [
      {
        "id": 14,
        "name": "Black"
      }
    ]
  },
  "local_eligible": false,
  "direct_shipping_eligible": false,
  "editor_picks": {
    "vintage": false,
    "we_love": false,
    "hot": false,
    "deal_eligible": false,
    "exceptional_pieces": true
  },
  "likes": 18,
  "link": "/women-shoes/trainers/adidas-x-chanel-x-pharrell-williams/black-cloth-adidas-x-chanel-x-pharrell-williams-trainers-20779390.shtml",
  "model": null,
  "pictures": [
    "/produit/20779390-1_2.jpg"
  ],
  "price": {
    "cents": 1072400,
    "currency": "USD"
  },
  "seller": {
    "id": 7326853,
    "firstname": "Oleg",
    "badge": "Trusted",
    "picture": "",
    "is_official_store": false
  },
  "sold": false,
  "stock": false,
  "should_be_gone": false,
  "created_at": 1643407800,
  "universe_id": 1,
  "personalization_type": "RankFMMixed",
  "from_url": "https://us.vestiairecollective.com/search/p-2/?q=shoe&sortBy=2"
}
]

Usage Guide

Option 1: Scraping with URLs

To use the scraper with URLs, navigate to Vestiaire Collective's website (any country domain), perform your desired search using filters for brand, category, price range, condition, or other parameters, then copy the resulting URL into the urls array.

Configure retry limits and proxy settings appropriately. Set reasonable max_items_per_url values to balance speed with system stability. Enable ignore_url_failures to prevent one problematic URL from stopping your entire job.

Best practices:

• Test URLs from each country domain individually before batch processing
• Monitor for blocked requests when switching between countries
• Implement delays between large batches to avoid rate limiting
• Use country-matched proxies for optimal access
• Save working URLs as search structures may change

Troubleshooting:

• Adjust proxy settings if encountering access restrictions
• Reduce retries if experiencing timeout issues
• Verify URL formats match current platform structure
• Check for region-specific URL parameter variations

Option 2: Scraping with Search Filters

Setting Up Multi-Country Search Criteria

Use search filters for automated search generation across different Vestiaire Collective country platforms. Ideal for systematic data collection and cross-market analysis.

Step 1: Select Target Country

Choose market using country_code:

• United States ("us"): Largest luxury resale market with competitive pricing
• United Kingdom ("com"): Mature market with international buyers
• France ("fr"): Home market with extensive luxury inventory
• Germany ("de"): Growing market with price-conscious buyers
• Italy ("it"): Strong local luxury brand presence
• Spain ("es"): Emerging market with competitive pricing

Step 2: Define Search Keyword

Enter keyword using brand names, product types, or specific models:

• Luxury brands: "chanel", "louis vuitton", "hermes", "gucci", "prada"
• Product types: "handbag", "shoes", "watch", "dress", "jewelry"
• Specific models: "birkin 30", "neverfull mm", "lady dior", "speedy 25"
• Combined searches: "chanel classic flap", "rolex submariner", "louboutin pumps"

Step 3: Configure Sorting

Set sort_by to control result ordering:

• "" (Relevance): Best for broad searches and popular items
• "1" (Price low to high): Find entry-level luxury or deals
• "2" (Price high to low): Target investment pieces and rare items
• "3" (Most Recent): Track new listings and market dynamics

Step 4: Set Pagination

Use page parameter for result control:

• Start at 1 for beginning of results
• Use incremental pages (2, 3, 4) for systematic coverage
• Resume interrupted scrapes by setting to last collected page
• Plan based on max_items_per_url setting

Best Practices for Filter-Based Scraping

Brand Strategy:

• Use official brand spellings (Hermès with accent, not Hermes)
• Try variations for brands with multiple names (YSL / Saint Laurent)
• Research brand popularity in each country before targeting
• Focus on country-specific brand strengths (French brands in France)

Keyword Optimization:

• Use English keywords across all markets (platform standard)
• Combine brand + product type for precise targeting
• Include model names for specific item research
• Avoid overly specific queries that may return no results

Sorting for Analysis:

• Use "Price low to high" for affordability analysis
• Use "Price high to low" for investment piece research
• Use "Most Recent" for real-time market monitoring
• Use "Relevance" for comprehensive brand overviews

Multi-Country Comparison:

1. Run identical searches across multiple countries
2. Compare pricing for same brands/models
3. Identify arbitrage opportunities
4. Track regional availability differences
5. Analyze cross-border pricing dynamics

Data Validation and Quality Control

Verify that:

• Brand names match expected luxury brands
• Prices are reasonable for luxury category
• Descriptions include condition and authenticity details
• Images are present for visual verification
• Seller information is available
• Timestamps are recent and logical
• Country matches selected market

Common Issue Resolution

Access Issues:

• Switch to residential proxies if encountering blocks
• Verify country_code matches target market
• Use country-matched proxies for better access
• Adjust retry settings for slower connections

Search Results:

• Verify keyword spelling and formatting
• Test keywords on actual website first
• Try broader terms if specific searches return nothing
• Check if brand/model exists on target country platform

Pagination Problems:

• Track page numbers to avoid gaps
• Adjust max_items_per_url based on available results
• Handle end-of-results when page exceeds total
• Use consistent increments for systematic coverage

Advanced Techniques

Price Tracking:

• Regularly scrape same searches to track price trends
• Monitor sold items to validate pricing
• Compare prices across countries for arbitrage
• Track seasonal pricing fluctuations

Brand Monitoring:

• Set up regular scrapes for key brands
• Track new listings via "Most Recent" sorting
• Monitor editor picks for trend signals
• Analyze brand popularity via likes/engagement

Market Intelligence:

• Compare inventory levels across countries
• Identify emerging trends via recent listings
• Track sell-through rates using sold status
• Analyze seller concentration and professional resellers

Proxy Configuration

Country Matching:

• Use US proxies for us.vestiairecollective.com
• Use French proxies for fr.vestiairecollective.com
• Match proxy to target market when possible
• Consider residential proxies for reliability

Residential Advantages:

• Higher success rates with luxury platforms
• Better detection avoidance
• More reliable for high-volume scraping
• Essential for professional market research

Benefits and Applications

The Vestiaire Collective Scraper dramatically reduces luxury market research time. What would require days of manual collection becomes hours of automated extraction, enabling focus on analysis rather than data gathering.

Primary Applications:

Luxury Pricing Intelligence: Track secondary market pricing for investment pieces, monitor depreciation rates for different brands, identify underpriced or overpriced listings, and develop data-driven pricing strategies for resale businesses.

Brand Market Analysis: Analyze brand presence across different countries, compare brand popularity via engagement metrics, track inventory levels and availability, and identify emerging luxury brands and trends.

Competitive Research: Monitor competitor pricing and inventory, identify professional resellers and their strategies, analyze market positioning of different sellers, and track competitive listings for specific products.

Investment Analysis: Evaluate luxury goods as alternative investments, track price appreciation for rare pieces, identify undervalued items with appreciation potential, and analyze market demand for specific models.

Inventory Planning: Understand market supply dynamics by category, identify gaps in market inventory, optimize purchasing decisions for resale business, and forecast demand based on engagement metrics.

Cross-Border Opportunities: Compare pricing across six countries, identify arbitrage opportunities between markets, understand regional luxury preferences, and optimize sourcing strategies internationally.

The structured output integrates seamlessly with pricing tools, inventory management systems, business intelligence platforms, and market analysis software for immediate activation.

Conclusion

The Vestiaire Collective Product Scraper transforms luxury market research from manual browsing into systematic data collection across six countries. By providing structured access to millions of luxury product listings, it empowers businesses to make data-driven decisions about pricing, inventory, and market positioning in the secondary luxury fashion market.

Whether building pricing intelligence systems, monitoring brand performance, conducting competitive research, or identifying investment opportunities, this scraper provides the automated extraction capabilities needed to succeed in luxury resale markets.

Ready to streamline your luxury market research? Start extracting valuable insights from Vestiaire Collective's global marketplace today.

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